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adapter-transformers

Huggingface Transformers + Adapters = ❤️

corona100d

Rieger, J. & von Nordheim, G. (2021). corona100d - German-language Twitter dataset of the first 100 days after Chancellor Merkel addressed the coronavirus outbreak on TV. DoCMA Working Paper #4.

dtm

This implements topics that change over time (Dynamic Topic Models) and a model of how individual documents predict that change.

edml2020

Rieger, J., Jentsch, C. and Rahnenführer, J. (2020). Assessing the Uncertainty of the Text Generating Process using Topic Models. ECML PKDD 2020 Workshops. CCIS 1323, pp. 385-396.

emnlp2021

Rieger, J., Jentsch, C. & Rahnenführer, J. (2021). RollingLDA: An Update Algorithm of Latent Dirichlet Allocation to Construct Consistent Time Series from Textual Data. Findings of the Association for Computational Linguistics: EMNLP 2021, pp. 2337–2347.

fringes

von Nordheim, G., Rieger, J. & Kleinen-von Königslöw, K. (2021). From the fringes to the core – An analysis of right-wing populists’ linking practices in seven EU parliaments and Switzerland. Digital Journalism.

ipi

Müller, H., Rieger, J., Schmidt, T. & Hornig, N. (2022). Pressure is high - and rising: The Inflation Perception Indicator (IPI) to 30 April 2022 - a Research Note Analysis. DoCMA Working Paper #10.

jonasrieger.github.io

ldagibbs

Fork of https://github.com/slycoder/R-lda and manipulated by adding a parameter n.init/n_/n_init

ldaprototype

Determine a Prototype from a number of runs of Latent Dirichlet Allocation.

mufin23

rollinglda

A rolling version of the Latent Dirichlet Allocation.

rollingldar3.6

topicalchanges

Dynamic change detection in topics based on rolling LDAs

upi

Müller, H., Rieger. J. & Hornig, N. (2022). Vladimir vs. the Virus - a Tale of two Shocks. An Update on our Uncertainty Perception Indicator (UPI) to April 2022 - a Research Note. DoCMA Working Paper #11.

zerrspiegel

von Nordheim, G. & Rieger, J. (2020). Im Zerrspiegel des Populismus - Eine computergestützte Analyse der Verlinkungspraxis von Bundestagsabgeordneten auf Twitter. Publizistik 65, pp. 403-424.